This repository was archived by the owner on Oct 8, 2024. It is now read-only.
Replies: 1 comment
-
Are you running a APU or on board graphics? It seems like you cannot run SD on APUs without a lot of RAM. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
so when I enter prompt and click generate this happens
Cannot initialize model with low cpu memory usage because
accelerate
was not found in the environment. Defaulting tolow_cpu_mem_usage=False
. It is strongly recommended to installaccelerate
for faster and less memory-intense model loading. You can do so with:.
2023-02-01 14:47:23.1551949 [W:onnxruntime:, inference_session.cc:490 onnxruntime::InferenceSession::RegisterExecutionProvider] Having memory pattern enabled is not supported while using the DML Execution Provider. So disabling it for this session since it uses the DML Execution Provider.
2023-02-01 14:47:24.6807150 [W:onnxruntime:, inference_session.cc:490 onnxruntime::InferenceSession::RegisterExecutionProvider] Having memory pattern enabled is not supported while using the DML Execution Provider. So disabling it for this session since it uses the DML Execution Provider.
2023-02-01 14:47:25.3866640 [W:onnxruntime:, inference_session.cc:490 onnxruntime::InferenceSession::RegisterExecutionProvider] Having memory pattern enabled is not supported while using the DML Execution Provider. So disabling it for this session since it uses the DML Execution Provider.
2023-02-01 14:48:18.2320463 [E:onnxruntime:, inference_session.cc:1484 onnxruntime::InferenceSession::Initialize::<lambda_70debc81dc7538bfc077b449cf61fe32>::operator ()] Exception during initialization: D:\a_work\1\s\onnxruntime\core\providers\dml\DmlExecutionProvider\src\BucketizedBufferAllocator.cpp(122)\onnxruntime_pybind11_state.pyd!00007FFFA3261188: (caller: 00007FFFA38B9EE6) Exception(1) tid(27a8) 8007000E Not enough memory resources are available to complete this operation.
I have 8gb ram and 4gb Vram
Beta Was this translation helpful? Give feedback.
All reactions